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6 articles for “decommissioning”
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Extending the Lifespan of Offshore Platforms: Vital Strategies for Durability
Abstract: This article explores the preventive measures for enhancing the durability and sustainability of aging offshore platforms, focusing on their evaluation, life extension, and potential repurposing. It begins by discussing diagnostic systems that assess structural integrity and safety, highlighting the importance of degradation models and neural networks in predicting corrosion effects on platform longevity. The paper then contrasts outdated Malaysian jacket platforms with emerging renewable energy solutions, particularly Ocean Thermal Energy …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 11–18 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitates the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitate the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Thermal Engineering and Applications · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Nuclear Power as a Clean Energy Future: A Review
Abstract: The global push for decarbonization necessitates a diverse energy portfolio, and nuclear power, once a subject of intense debate, is re-emerging as a potential cornerstone of a clean energy future. With its capacity for baseload power generation and minimal greenhouse gas emissions during operation, nuclear energy offers a compelling substitute for fossil fuels, particularly in a world grappling with climate change. However, challenges remain regarding safety, waste disposal, and economic …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–11 Read article
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Study of the Rheological, Physical-Mechanical Properties of Disposed Polypropylene and Polyvinyl Chloride Binary Mixtures
Abstract: In this study, various compositions were prepared by modifying the decommissioned polypropylene (PP)-based polymer waste with polyvinyl chloride (PVC) in different proportions for the purpose of modification, and the flow index and physical and mechanical properties of their alloys were studied. As a result of the research, the following results were obtained. PP/PVC binary compositions were prepared and samples were obtained based on 6 different proportions by changing the amount …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 Read article
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Integrated Frameworks for Artifical Intelligence in Radioactive Waste Characterization and Nuclear Lifecycle Safety
Abstract: The management and characterization of radioactive waste represent a pivotal challenge for the global energy sector, requiring the convergence of advanced physics, material science, and computational intelligence. As the nuclear industry undergoes a paradigm shift toward decommissioning legacy facilities and establishing deep geological repositories, the limitations of traditional, manually-intensive waste management processes have become increasingly apparent. Rigid separation from the biosphere is required for radioactive waste, which is defined by …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 2, 2026 Read article